Review Spammer Detection System by Using Rating and Review Content Similarity

Abstract

Assessing the trustworthiness of reviews is a key issue for the maintainers of opinion such as Amazon.com. Opinion reviews on products and services are used by potential customers before deciding to purchase a product. An important issue that has been neglected so far is opinion spam or trustworthiness of online opinions. To the best of our knowledge, there is still little published study on this topic, although Web spam and email spam have been investigated extensively. This paper presents spammer detection techniques to calculate spam score of each user based on their rating and review similarity on the target products. The experiment showed that the presented technique has comparatively spammer detection with less computation than others.